Gercina Ângela de Lima

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Full Professor of the School of Information Science from UFMG. She holds a Bachelor's degree in Library Science from the Federal University of Minas Gerais (1985), Master of Science in Library Service-Clark Atlanta University (1993), Doctorate in Information Sciences from the Federal University of Minas Gerais (2004), PhD in studies on methodologies for the indexing process of textual documents, y Documentación Department of Librarianship, Faculty of Humanities, Comunicación y Documentación, Universidad Carlos III, Madrid, Spain (2013-2014), and PhD from the School of Arts and Communication University (2014). Researcher 1D at CNPQ. Coordinator of the research group MHTX-Conceptual Modeling of Hypertexts to Academic Documents, registered at CNPq since 2004. Member of the International Society for Knowlege Organization (ISKO) Advisory Committee. Has experience in the area of Information Science, with an emphasis on Organization and Information Representation.

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    A SEMANTIC-RELATIONS TAXONOMY FOR KNOWLEDGE REPRESENTATION
    (Brazilian Journal of Information Science: Research trends, 2021-09-28) Maia, Lucinéia Souza. Lima, Gercina Ângela de.
    Concepts are units of knowledge and, the relationships link these units, which gives the meaning as represented. Semantic relations in knowledge representation characterizes the association between the concepts of a domain. In this way, semantic relations allow users to assimilate the association between concepts in a domain. These relationships are essential because they serve as a basis for representing and structuring a domain of knowledge. Thus, the studies on semantic relations have been accomplished by several researchers from different areas of knowledge, approaching a different point of view, which resulted in a terminological variation. The objective of this proposal of the taxonomy of semantic relations arose precisely to solve this problem. In this sense, exploratory research was carried out using the methodological procedure literature research following criteria that pointed out the most relevant approaches to types of semantic relations. As result, a taxonomy was arrived at of sixty-three semantic relations, including the new relationships found from this study, nicknamed here "subordinate agent”.